Senior Platform Engineer (AI Acceleration) Commonwealth Bank of Australia, Sydney, Australia Do work that matters The role of Senior Platform Engineer is to design, build, run & evolve tools, infrastructure, templates, and capabilities that our data science community and other engineers use to deliver business value, and to write code that automates running our infrastructure and environments.Collaboratively work with customer-facing product owners and platform engineers to design, build and run 'platforms' that they can use to deliver customer value at greater quality, velocity, and safety.Help to make our platforms loved by our engineers and data science community! We are keen to hear from platform engineers who are passionate about infrastructure as code, software eating the world, LLMs, GPUs, and High Performance Compute!Key Responsibilities Provide strategic technical leadership and mentorship driving best practices for ML platform architecture, deployment, and scaling.Oversee the design and development of scalable and resilient AI infrastructure with a focus on performance and reliability and architect core components, ensuring performance, reliability, and scalability.Create a standardized set of tooling for deploying and running applications and setting them up with best practices.Collaboratively work with customer-facing product owners and engineers to design, build and run platforms that they can use to deliver customer value at greater quality, velocity, and safety.Make all platforms entirely self-service, secure, and available within minutes without human approval.Collaborate with data scientists, engineers, and stakeholders to define and implement technical requirements.Translate needs into technical solutions and ensure the platform's reliability through robust monitoring, logging, and alerting systems.Develop and maintain comprehensive documentation, including architecture blueprints and best practices as well as conduct workshops and training sessions to educate and align the team on platform usage and best practices.Stay up to date with the latest developments in the field of ML, MLOps, LLMs, GPUs, and related concepts.R&D on emerging AWS technology.We're interested in hearing from people who Are an expert at the Full Cycle model, where engineers are involved in Design, Build, Change, and Run.Have a passion for designing, developing, deploying, and running high-quality modern machine learning platforms.Contribute to a culture where quality, inclusiveness, and excellence are championed.Have a natural drive to educate, communicate and positively influence various stakeholder groups including high-level executives.Tech Skills We use a broad range of tools, languages, and frameworks.We don't expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team; AWS Services : In-depth knowledge of AWS services such as EC2, ECS, S3, Lambda, Step function, RDS, Dynamo DB, IAM, VPC, Route 53, Cloudwatch, EKS.ML Services : Expertise in AWS ML services like Sage Maker, AWS Glue, Amazon EMR.Familiarity with AWS Bedrock, Amazon Q services, NVIDIA GPUs and related frameworks, LLMs.Model Lifecycle: Experience with the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.Scripting: Proficient in automation and Scripting (Bash, Python).Ia C Tools: Hands-on experience with infrastructure as code tools like AWS Cloud Formation.Version Control: Proficiency with version control systems like Github, Github Actions.Monitoring & Observability: Expertise in tools like Grafana, Prometheus.Engineering Tooling: Artifactory, Synk, Docker.Working with us At Comm Bank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender, and sexual orientation.Read more about our commitment to inclusion and diversity.If you experience any accessibility issues or if you require additional support please contact HR Direct.We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office.We also have many other flexible working options available including changing start and finish times, part-time arrangements, and job share to name a few.Talk to us about how these arrangements might work for you.Advertising End Date: 30/10/2024.#J-18808-Ljbffr